This article presents a bunch of code snippets that you can use as a reference when dealing with normal distribution. R makes it easy to run stats. Use, improve and share your comments please. #the 68-96-99.7% rule for the normal distribution with regards to standard deviations #How to work with standard normal tables #What…
This article introduces functions within functions. We have used Bohr equations to calculate energy, wavelength and frequency of electrons during transfer between various orbitals. When you are studying the code, pay attention to the function calls which often used another function to get the result. In short, R-functions are reusable and you should re use…
If you liked college chemistry, you would know about the function we are going to define in R. I have also included couple of example solutions with the code. Calculating the photon energy when the wavelength is given is a very common problem in chemistry. You need to know the Plank’s constant and the speed…
Computing percentiles using R: a reference for geoscientists In a normal distribution, Z scores can be used to calculate “PERCENTILES”. Percentile is the percentage of observations in the study that fall below a given data. In a graphical form, percentile wold give you the cumulative probability left of the observation in a probability distribution curve.…
Goal for the article today is to introduce you to another powerful feature in R: geological mapping. There are several R packages available that you can use. You will not be an expert once you are done analyzing this article, but it will direct you to the right path. Task 1: Create a map where…
RFOC package in R is used in generation of graphics for statistics on a sphere, as applied to geological fault data, crystallography, earthquake focal mechanisms, radiation patterns, ternary plots and geographical/ geological maps. In this article we are going to explore some of the features we could use periodically. RFOC can be used for analysis of :…
In our previous exercise in R-statistical software we used data for the unsold IPL2014 players and came up with some statistics and visualize the data. Now, what about the sold players. Indian Premiere League is pumping a lot of money into the Indian economy where most people are just crazy about cricket. “The 2014 Pepsi…
In geology, we work with data a lot. Now data could come from many different places. To make my example with R to do some statistical analysis, let’s get some data for the IPL 2014 unsold players. The data is available from the Pepsi IPL 2014 Player Auction website http://www.iplt20.com/playerauction and I have gathered data for the…
The following examples show you some of the most basic methods that you would use for a Python list object. >>> #create a list >>> #use numers as list items for simplicity >>> alist=[1,2,3,4,5] >>> >>> #add an object 6 to the list using append method >>> alist.append(6) >>> alist [1, 2, 3, 4, 5,…
Well, as we do geology, lets first make an example string – “Geology is great” and work on it. s.capitalize() - Capitalizes the first letter of the string s. >>> ex.capitalize() ‘Geology is great’ >>> ex[-6:].capitalize() ‘ great’ >>> ex[-5:].capitalize() ‘Great’ s.center(width) Centers the string in the length specified by width. Just try ex.center(100) s.count(s): Counts the number…
There are many built in functions in Python. I am only showing you some that I feel most important. Explore and learn more at your free time. abs() Return the absolute value of a number. >>> abs(-5) 5 >>> abs(-3.4*4) 13.6 divmod() Take two (non complex) numbers as arguments and return a pair of numbers…
I remember my first meeting with this mysterious % codes in Python. I also remember that I skipped the hole chapter. I use some of the %code operators quite frequently, the most notable one being the %f operator. I would use ‘%.2f’ to print out formatted floating point with two decimal points. However, you may…
I love both the type and the id commands in Python. They are self explanatory and can save you from a lot of trouble. For example, you want to create an one item tuple containing “one” and combine with another tuple containing (9,9,0). See the code below. >>> tuple1=(9,9,1) >>> tuple2=(“one”) >>> tuple3=tuple1+tuple2 Traceback (most…
